{"id":"W2046149865","doi":"10.2118/146898-pa","title":"The Role of Geomechanical Observation in Continuous Updating of Thermal-Recovery Simulations With the Ensemble Kalman Filter","year":2013,"lang":"en","type":"article","venue":"SPE Journal","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Shell (Canada)","funders":"CMG Reservoir Simulation Foundation","keywords":"Geomechanics; Ensemble Kalman filter; Petroleum engineering; Geology; Process (computing); Data assimilation; Kalman filter; Matching (statistics); Computer science; Geotechnical engineering; Extended Kalman filter; Meteorology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009984062,0.0003213842,0.0004332503,0.000254443,0.000250895,0.0005243546,0.0004953867,0.0005619577,0.0004658778],"category_scores_gemma":[0.003714738,0.0002634605,0.0003093952,0.0002756048,0.0003252175,0.0009722897,0.0004934453,0.0005283359,0.00008262376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003758982,"about_ca_system_score_gemma":0.0007302966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01504922,"about_ca_topic_score_gemma":0.01241465,"domain_scores_codex":[0.9997395,0.00009862147,0.00002393076,0.00004523413,0.00006886832,0.00002377677],"domain_scores_gemma":[0.9987246,0.0007238974,0.0001771074,0.000127881,0.0002093012,0.00003707869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007337019,0.00002925623,0.003375825,0.00002127913,0.00002717886,0.00002466483,0.00004522431,0.9695291,0.003411344,0.001002845,0.00008488394,0.02237512],"study_design_scores_gemma":[0.000001912159,0.000006122179,0.000263987,0.000001140982,0.000002453964,0.000001433549,0.000001858592,0.9989678,0.0006231436,0.00008809302,0.00004045088,0.000001775458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3309865,0.0001502372,0.6664766,0.0001940294,0.00004363251,0.00003689928,0.00009691351,0.000409831,0.001605253],"genre_scores_gemma":[0.9631657,0.0000419741,0.03639277,0.00001571957,0.000009607413,0.0000269305,0.00004393842,0.00001910382,0.0002842637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01504922,"threshold_uncertainty_score":0.02992326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219444639067969,"score_gpt":0.2327277482109319,"score_spread":0.2205333018202522,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}